Run
10228369

Run 10228369

Task 167140 (Supervised Classification) dna Uploaded 04-06-2019 by Andreas Mueller
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  • openml-python Sklearn_0.22.dev0.
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Flow

sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoos tingClassifier(1)Automatically created scikit-learn flow.
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(1)_l2_regularization0.0
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(1)_learning_rate0.1
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(1)_loss"auto"
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(1)_max_bins256
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(1)_max_depthnull
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(1)_max_iter1000
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(1)_max_leaf_nodes31
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(1)_min_samples_leaf20
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(1)_n_iter_no_changenull
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(1)_random_state17315
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(1)_scoringnull
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(1)_tol1e-07
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(1)_validation_fraction0.1
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(1)_verbose0

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

17 Evaluation measures

Area under ROC curve
0.9946 ± 0.0029
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9653 ± 0.0085
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9435 ± 0.0139
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.9443 ± 0.0133
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0251 ± 0.0054
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.41 ± 0.0002
Cross-validation details (10-fold Crossvalidation)
Number of instances
3186
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9656 ± 0.0085
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9652 ± 0.0086
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.4798 ± 0.0014
Cross-validation details (10-fold Crossvalidation)
Recall
0.9652 ± 0.0086
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0612 ± 0.0133
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4527 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1451 ± 0.0183
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3204 ± 0.0403
Cross-validation details (10-fold Crossvalidation)